A symmetric matrix is defined by the property ${a_{ij}} = {a_{ji}}$ for all $i$ and $j$, meaning $A={A^T}$. Such systems are common in mathematical and engineering problems and offer computational advantages because they require only half the storage space and, in most cases, only half the computation time needed for solving. Today, I'll explain the Cholesky decomposition, which is based on the ..
